Modeling and Simulation of Real Grid Connected PV Plant Based on Particle Swarm Optimization Algorithm

Abstract

The Iraqi generated power less than loads requirements, these lead us to investigate and analyzing other energy resources to fill the gap between generated power and demand. Solar energy is more available and possible to use at the residential units for local loads and inject the excess power into the utility grid. In this paper, we present modeling and real-time analysis of the 12.6kW Grid-connected PV system installed inside the solar energy laboratory at Northern Technical University. The study involved monitored data for march 2021 and the Simulink model used to analyze the performance of the PV system under non-uniform solar irradiance and grid disturbance. Particle swarm optimization algorithm (PSO) is adopted in the structure of the maximum power point tracking (MPPT).The obtained results evidenced that the system succeeds withstand different operational conditions and generate high quality power with the PV array efficiency of 17.4%, the MPPT efficiency 98.2%, and inverter efficiency 90.5%.